Forecasting

2018 - 2025

Current editor(s): Ms. Joss Chen

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Volume 7, issue 3, 2025

Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model pp. 1-19

Harrison Katz, Liz Medina and Robert E. Weiss

Forecasting Outcomes Using Multi-Option, Advantage-Sensitive Thurstone-Motivated Models pp. 1-19

László Gyarmati, Csaba Mihálykó and Éva Orbán-Mihálykó

Probabilistic Projections of South Korea’s Population Decline and Subnational Dynamics pp. 1-19

Jeongsoo Kim

NCD-Pred: Forecasting Multichannel Shipboard Electrical Power Demand Using Neighborhood-Constrained VMD pp. 1-19

Paolo Fazzini, Giuseppe La Tona, Marco Montuori, Matteo Diez and Maria Carmela Di Piazza

TimeGPT’s Potential in Cryptocurrency Forecasting: Efficiency, Accuracy, and Economic Value pp. 1-19

Minxing Wang, Pavel Braslavski and Dmitry I. Ignatov

Machine Learning-Based Prediction of External Pressure in High-Speed Rail Tunnels: Model Optimization and Comparison pp. 1-24

Xiazhou She, Yongxing Jia, Rui Li, Jianlin Xu, Yonggang Yang, Weiqiang Cao, Lei Xiao and Wenhao Zhao

Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps pp. 1-49

László Vancsura, Tibor Tatay and Tibor Bareith

A Wavelet–Attention–Convolution Hybrid Deep Learning Model for Accurate Short-Term Photovoltaic Power Forecasting pp. 1-29

Kaoutar Ait Chaoui, Hassan EL Fadil, Oumaima Choukai and Oumaima Ait Omar

Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model pp. 1-25

Hussein Alabdally, Mumtaz Ali, Mohammad Diykh, Ravinesh C. Deo, Anwar Ali Aldhafeeri, Shahab Abdulla and Aitazaz Ahsan Farooque

Integration of LSTM Networks in Random Forest Algorithms for Stock Market Trading Predictions pp. 1-25

Juan C. King and José M. Amigó

Exploiting Spiking Neural Networks for Click-Through Rate Prediction in Personalized Online Advertising Systems pp. 1-17

Albin Uruqi and Iosif Viktoratos

SGR-Net: A Synergistic Attention Network for Robust Stock Market Forecasting pp. 1-36

Rasmi Ranjan Khansama, Rojalina Priyadarshini, Surendra Kumar Nanda, Rabindra Kumar Barik and Manob Jyoti Saikia

Identification of Investment-Ready SMEs: A Machine Learning Framework to Enhance Equity Access and Economic Growth pp. 1-36

Periklis Gogas, Theophilos Papadimitriou, Panagiotis Goumenidis, Andreas Kontos and Nikolaos Giannakis

Optimizing Credit Risk Prediction for Peer-to-Peer Lending Using Machine Learning pp. 1-31

Lyne Imene Souadda, Ahmed Rami Halitim, Billel Benilles, José Manuel Oliveira and Patrícia Ramos

Energy Demand Forecasting Using Temporal Variational Residual Network pp. 1-21

Simachew Ashebir and Seongtae Kim

Forecasting Youth Unemployment Through Educational and Demographic Indicators: A Panel Time-Series Approach pp. 1-20

Arsen Tleppayev and Saule Zeinolla

SegmentedCrossformer—A Novel and Enhanced Cross-Time and Cross-Dimensional Transformer for Multivariate Time Series Forecasting pp. 1-20

Zijiang Yang and Tad Gonsalves

An Extension of Laor Weight Initialization for Deep Time-Series Forecasting: Evidence from Thai Equity Risk Prediction pp. 1-27

Katsamapol Petchpol and Laor Boongasame

Enhancing Neural Architecture Search Using Transfer Learning and Dynamic Search Spaces for Global Horizontal Irradiance Prediction pp. 1-23

Inoussa Legrene, Tony Wong and Louis-A. Dessaint

Probabilistic Demand Forecasting in the Southeast Region of the Mexican Power System Using Machine Learning Methods pp. 1-16

Ivan Itai Bernal Lara, Roberto Jair Lorenzo Diaz, María de los Ángeles Sánchez Galván, Jaime Robles García, Mohamed Badaoui, David Romero Romero and Rodolfo Alfonso Moreno Flores

Short-Term Prediction in an Emergency Healthcare Unit: Comparison Between ARIMA, ANN, and Logistic Map Models pp. 1-16

Andres Eberhard Friedl Ackermann, Virginia Fani, Romeo Bandinelli and Miguel Afonso Sellitto

Volume 7, issue 2, 2025

Dynamic Forecasting of Gas Consumption in Selected European Countries pp. 1-29

Mariangela Guidolin and Stefano Rizzelli

A Deep Learning-Based Prediction and Forecasting of Tomato Prices for the Cape Town Fresh Produce Market: A Model Comparative Analysis pp. 1-18

Emmanuel Ekene Okere and Vipin Balyan

Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning pp. 1-18

Kamran Hassanpouri Baesmat, Zeinab Farrokhi, Grzegorz Chmaj and Emma E. Regentova

A Set of New Tools to Measure the Effective Value of Probabilistic Forecasts of Continuous Variables pp. 1-18

Josselin Le Gal La Salle, Mathieu David and Philippe Lauret

Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O 3 ) Prediction in Johannesburg, South Africa pp. 1-19

Israel Edem Agbehadji and Ibidun Christiana Obagbuwa

A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets pp. 1-34

Parul Dubey, Pushkar Dubey and Pitshou N. Bokoro

Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data pp. 1-24

Yitong Bi, Wenkuan Xu, Lin Song, Molan Yang and Xiangqiang Zhang

A Fusion of Deep Learning and Time Series Regression for Flood Forecasting: An Application to the Ratnapura Area Based on the Kalu River Basin in Sri Lanka pp. 1-24

Shanthi Saubhagya, Chandima Tilakaratne, Pemantha Lakraj and Musa Mammadov

Correction: Ferreira Lima dos Santos et al. Riding into Danger: Predictive Modeling for ATV-Related Injuries and Seasonal Patterns. Forecasting 2024, 6, 266–278 pp. 1-1

Fernando Ferreira Lima dos Santos, Farzaneh Khorsandi and Guilherme De Moura Araujo

Wind Speed Forecasting with Differentially Evolved Minimum-Bandwidth Filters and Gated Recurrent Units pp. 1-27

Khathutshelo Steven Sivhugwana and Edmore Ranganai

Volatility Modelling of the Johannesburg Stock Exchange All Share Index Using the Family GARCH Model pp. 1-33

Israel Maingo, Thakhani Ravele and Caston Sigauke

Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors pp. 1-16

Chibuike Chiedozie Ibebuchi

Cognitive and Spatial Forecasting Model for Maritime Migratory Incidents: SIFM pp. 1-17

Donatien Agbissoh Otote and Antonio Vázquez Hoehne

Three Environments, One Problem: Forecasting Water Temperature in Central Europe in Response to Climate Change pp. 1-22

Mariusz Ptak, Mariusz Sojka, Katarzyna Szyga-Pluta and Teerachai Amnuaylojaroen

Stochastic Model and Rhythm-Adaptive Technologies of Statistical Analysis and Forecasting of Economic Processes with Cyclic Components pp. 1-26

Serhii Lupenko and Andrii Horkunenko

Forecasting Robust Gaussian Process State Space Models for Assessing Intervention Impact in Internet of Things Time Series pp. 1-20

Patrick Toman, Nalini Ravishanker, Nathan Lally and Sanguthevar Rajasekaran

Identifying and Forecasting Recurrently Emerging Stock Trend Structures via Rising Visibility Graphs pp. 1-20

Zhen Zeng and Yu Chen

Volume 7, issue 1, 2024

Testing for Bias in Forecasts for Independent Multinomial Outcomes pp. 1-8

Philip Hans Franses and Richard Paap

Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa pp. 1-20

Ely Ondo Ekogha and Pius A. Owolawi

Synthetic Demand Flow Generation Using the Proximity Factor pp. 1-20

Ekin Yalvac and Michael G. Kay

Methodology Based on BERT (Bidirectional Encoder Representations from Transformers) to Improve Solar Irradiance Prediction of Deep Learning Models Trained with Time Series of Spatiotemporal Meteorological Information pp. 1-21

Llinet Benavides-Cesar, Miguel-Ángel Manso-Callejo and Calimanut-Ionut Cira

Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain pp. 1-21

Javier Gómez-Gómez, Eduardo Gutiérrez de Ravé and Francisco J. Jiménez-Hornero

Evaluating the Potential of Copulas for Modeling Correlated Scenarios for Hydro, Wind, and Solar Energy pp. 1-21

Anderson M. Iung, Fernando L. Cyrino Oliveira, Andre L. M. Marcato and Guilherme Armando Pereira

Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems pp. 1-21

Xinyue Xu and Julian Wang

Multifeature-Driven Multistep Wind Speed Forecasting Using NARXR and Modified VMD Approaches pp. 1-24

Rose Ellen Macabiog and Jennifer Dela Cruz

Exchange Rates, Supply Chain Activity/Disruption Effects, and Exports pp. 1-14

Simiso Msomi and Paul-Francios Muzindutsi

White Noise and Its Misapplications: Impacts on Time Series Model Adequacy and Forecasting pp. 1-14

Hossein Hassani, Leila Marvian Mashhad, Manuela Royer-Carenzi, Mohammad Reza Yeganegi and Nadejda Komendantova

Temporal Attention-Enhanced Stacking Networks: Revolutionizing Multi-Step Bitcoin Forecasting pp. 1-28

Phumudzo Lloyd Seabe, Edson Pindza, Claude Rodrigue Bambe Moutsinga and Maggie Aphane

Forecasting Wind Speed Using Climate Variables pp. 1-23

Rafael Araujo Couto, Paula Medina Maçaira Louro and Fernando Luiz Cyrino Oliveira

Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes pp. 1-27

Kehkashan Fatima and Hussain Shareef

The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions pp. 1-27

Manuel Muth